Supporting Lexical Ontology Learning by Relational Exploration

Authors

Sebastian Rudolph
Johanna Volker
Pascal HitzlerFollow

Document Type

Conference Proceeding

Publication Date

7-2007

Abstract

Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.

Comments

Attached is the unpublished, peer-reviewed version of the proceeding. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-73681-3_41.

Presented at the 15th International Conference on Conceptual Structures, Sheffield, UK, July 22-27, 2007.

Repository Citation

Rudolph, S., Volker, J., & Hitzler, P. (2007). Supporting Lexical Ontology Learning by Relational Exploration. Lecture Notes in Computer Science, 4604, 488-491.
https://corescholar.libraries.wright.edu/cse/200

DOI

10.1007/978-3-540-73681-3_41